Reports
AI-generated structured vendor updates
Intel 18A Yield Hits 85%, Secures Orders from NVIDIA, OpenAI, Reshaping Foundry Landscape
Intel reports 18A process yield improvement to 85%, from 65% last quarter, nearing TSMC N2's 90%. Secured foundry deals with NVIDIA, AMD, OpenAI, etc. EMIB advanced packaging yield reaches 98%, used in NVIDIA Feynman, Google TPU. This marks a strategic inflection in AI chip manufacturing.
TSMC Hikes Sub-7nm Prices 8-12%, Extends Lead Times to 26 Weeks, Triggering AI Chip Cost Inflation
TSMC raises sub-7nm wafer prices by 8-12% and extends lead times to 26 weeks, effective July 2026. New v2.1 directive mandates EDA tool validation for PDK access. This directly inflates AI chip TCO, delays new product launches, and solidifies TSMC's control over the AI supply chain.
NVIDIA Kyber NVL144 Delayed to 2028: Midplane PCB Manufacturing Becomes AI Scaling Bottleneck
SemiAnalysis reveals NVIDIA's Kyber NVL144 delayed beyond 12 months to 2028 due to 78-layer Orthogonal Backplane manufacturing challenges. The interim NVL72x2 solution is cancelled due to operational burdens, and the 4-die Rubin Ultra is also scrapped, leaving a product gap in NVIDIA's scaling roadmap.
Samsung Restarts 1.4nm Foundry Node, Pre-emptively Locks Equipment Supply Chain
Samsung Electronics restarts 1.4nm (SF1.4) process commercialization, ordering equipment vendors to develop tools early. The node will use High-NA EUV lithography and GAA transistors, fabbed at NRD-K campus. This move aims to catch up with TSMC and Intel, but mass production timeline remains undisclosed.
TSMC, ASML, imec Demonstrate 300mm 2D Material CMOS with 50nm CPP, 94% Yield
TSMC, ASML, and imec jointly demonstrated the first 300mm wafer-scale integration of 2D material transistors at VLSI 2026, achieving 50nm contacted poly pitch (CPP) for MoS₂ nFET and WS₂/WSe₂ pFET with 28nm channel length and 94% yield, marking a critical step toward industrializing 2D semiconductors.
Samsung and SK Hynix Announce $300B Investment to Dominate AI Memory and Foundry
Samsung and SK Hynix announce a 10-year, 1,000 trillion won investment plan to expand HBM4 production, improve 3nm GAA yield, and build new AI chip fabs. This aims to cement their HBM duopoly and close the gap with TSMC in advanced foundry, reshaping global AI infrastructure supply chain costs.
Samsung 3nm GAA Yield Hits 80%, Lands Nvidia Order: TSMC Monopoly Challenged
Samsung Electronics announced its 3nm GAA process yield has exceeded 80%, securing orders from Nvidia for mid-range GPUs. This milestone marks the commercialization of Samsung's SF3 technology, aiming to reduce Nvidia's reliance on TSMC.
Intel Foundry Lands Google TPU Packaging Deal: EMIB-T Shakes TSMC's AI Chip Monopoly
Intel secures a multi-billion-dollar deal to package over 3 million Google TPUs using its advanced EMIB-T 2.5D packaging, while the chips themselves remain fabricated at TSMC. This marks Intel's strategic shift from CPU vendor to second-source AI packaging partner, targeting 2028 production. Intel's 18A node yields exceed expectations, but analysts caution the scope is limited to packaging.
Google Awards 3M+ TPU Packaging Orders to Intel Foundry, Breaking TSMC's CoWoS Monopoly
Google has awarded Intel Foundry over 3 million units of next-gen TPU advanced packaging orders, leveraging Intel's EMIB technology with production starting in 2028. This marks Intel Foundry's largest external customer win and a pivotal shift in AI chip packaging away from TSMC's CoWoS monopoly.
Intel and SambaNova Launch Rack-Scale AI, CPU Reclaims Inference Control
At Computex 2026, Intel unveiled a rack-scale AI infrastructure combining Xeon 6+ processors with SambaNova SN-50 RDU, and a decoupled inference cloud (Vector Core Compute) using Xeon 6+ for orchestration, Blackwell GPU for prefill, and SN40 RDU for decode. This CPU-centric approach targets agentic AI inference, challenging NVIDIA's GPU dominance.
Huawei's Tao Law: LogicFolding Bypasses Lithography, 55% Density Gain on Fixed Node
At ISCAS 2026, Huawei's He Tingbo unveiled the Tao Law, replacing geometric scaling with temporal optimization targeting tau (characteristic time). LogicFolding vertically stacks active layers to shorten critical paths, achieving 55% transistor density increase and 41% energy efficiency gain on a fixed node. Kirin 2026 reaches 3.1GHz; Ascend series will adopt LogicFolding. The roadmap projects equivalent 1.4nm density by 2031, fundamentally challenging Moore's Law's lithography dependency.
TSMC Q1 Earnings: Advanced Packaging Capacity Bottleneck to Persist, Constraining AI Chip Supply Through 2025
TSMC Q1 earnings show HPC crossing 60% revenue share for the first time; CoWoS advanced packaging capacity will remain tight through 2027—the real AI chip supply bottleneck is packaging, not processes.
TSMC Launches Mask Service to Strengthen One-Stop Chip Manufacturing
TSMC officially launches mask manufacturing service covering full process from data preparation to inspection and repair. The service integrates mask fabrication capabilities for process co-optimization and faster time-to-market. This strengthens TSMC's one-stop manufacturing solution and deepens customer collaboration.
ASML Integrates Lithography and Metrology Systems in Semiconductor Manufacturing Ecosystem
ASML has built an integrated product matrix centered on lithography systems, combined with metrology and computational lithography. Its EUV and DUV scanners support advanced chip manufacturing, while YieldStar metrology and Tachyon software enable process optimization and yield control. This forms a complete semiconductor manufacturing toolchain from patterning to process control.
Huawei Integrates Networking, AI and Security for Manufacturing Solutions
Huawei launched a digital transformation solution for manufacturing, integrating CloudCampus industrial networking, industrial AI analytics and end-to-end security protection.
TSMC Launches Manufacturing Optimization with Data Analytics and Machine Learning
TSMC introduces an engineering optimization solution integrating data analytics and ML for real-time monitoring and intelligent analysis of manufacturing processes, proactively identifying anomalies to improve wafer yield. The solution focuses on systematic optimization of process parameters and equipment efficiency.
ASML System Integration Innovation Strengthens Semiconductor Manufacturing Tech Barrier
ASML drives EUV and High-NA technology through deep integration of lithography hardware, metrology systems, and computational lithography software. This systemic innovation enhances chip manufacturing precision and yield, strengthening its leadership in advanced processes.
ASML Unveils Lithography Accuracy Measurement Technology: The Key to Nanometer Control
ASML has published a technical article detailing the critical principles of "measuring accuracy" in its lithography technology. The article states that in chip manufacturing, lithography machines must transfer circuit patterns onto silicon wafers with extreme precision, and measurement is the foundation for achieving this accuracy. ASML ensures precision through its unique "alignment" and "overlay" measurement systems. The alignment system ensures precise alignment between the silicon wafer and the mask, while overlay measurement is used to assess the pattern registration accuracy between consecutive lithography layers, which is crucial for manufacturing complex 3D structures. ASML's technology can achieve sub-nanometer measurement accuracy, a core capability that continuously drives the miniaturization of chip processes (such as the evolution towards 3nm nodes and beyond). This technology is an indispensable part of ASML's advanced equipment like Extreme Ultraviolet (EUV) lithography machines, ensuring consistency and yield in mass production. **Comment**: By delving into its fundamental measurement technology, ASML once again highlights its technical moat in the semiconductor equipment field. Sub-nanometer measurement and control capabilities are the invisible cornerstone enabling the continuation of Moore's Law. For chip manufacturers and material/metrology equipment suppliers, paying attention to the evolution of such underlying precision technologies is key to anticipating the feasibility and challenges of advanced process node implementation.
NVIDIA and SK hynix Co-Architect Next-Gen Memory for AI Factories, Locking HBM4 to Vera Rubin
NVIDIA and SK hynix announce a multi-year tech partnership to co-develop next-gen memory for Vera Rubin, RTX Spark, and Jetson Thor. Separately, SK Telecom deploys a gigawatt-scale AI cloud using the full DGX stack, targeting 2027. This elevates SK hynix from supplier to co-architect, strengthening NVIDIA's lock-in on HBM and the AI ecosystem.